Abstract
Purpose
Sarcopenia has been identified as an important prognostic factor for patients with cancer. This study aimed at exploring the potential associations between a 6-month physical activity intervention and muscle characteristics, sarcopenia, oxidative stress and toxicities in patients with metastatic breast cancer.
Methods
Women newly diagnosed with metastatic breast cancer (N = 49) participated in an unsupervised, personalized, 6-month physical activity intervention with activity tracker. Computerized tomography images at the third lumbar vertebra were analysed at baseline, three months and six months to assess sarcopenia (muscle mass index < 40 cm2/m2) and muscle quality (poor if muscle attenuation < 37.8 Hounsfield Units). Oxidative markers included plasma antioxidant enzymes (catalase, glutathione peroxidase and superoxide dismutase activities), prooxidant enzymes (NADPH oxidase and myeloperoxidase activities) and oxidative stress damage markers (advanced oxidation protein products, malondialdehyde (MDA) and DNA oxidation.
Results
At baseline 53% (mean age 55 years (SD 10.41)) were sarcopenic and 75% had poor muscle quality. Muscle cross sectional area, skeletal muscle radiodensity, lean body mass remained constant over the six months (p = 0.75, p = 0.07 and p = 0.75 respectively), but differed significantly between sarcopenic and non-sarcopenic patients at baseline and 6-months. Sarcopenic patients at baseline were more likely to have an increase of MDA (p = 0.02) at 6 months. Being sarcopenic during at least one moment during the 6-month study was associated with a higher risk of developing severe toxicities (grade > 2) (p = 0.02).
Conclusions
This study suggests potential benefits of physical activity for maintenance of muscle mass. Sarcopenia can alter many parameters and disturb the pro and antioxidant balance.
Supplementary Information
The online version contains supplementary material available at 10.1007/s10549-021-06238-z.
Keywords: Metastatic breast cancer, Sarcopenia, Skeletal muscle index, Oxidative stress, Toxicity, Physical activity
Introduction
About 5% of breast cancers are metastatic at diagnosis and 20–30% of localized breast cancer become secondarily metastatic [1, 2]. The recent therapeutic advances have resulted in improvements in median survival which currently ranges from 2 to 3 years with a 5-year survival of ~ 25% in developed countries [1]. Metastatic breast cancer is considered incurable, and treatments are proposed to improve quality of life and overall survival. However, patients suffer from many detrimental symptoms, such as fatigue, pain, toxicities related to treatments and decrease in physical functioning related to treatment and metastasis [2, 3].
Sarcopenia is characterised by a decrease in skeletal muscle mass and in physical performance Sarcopenia is primarily associated with aging and is secondarily related with other chronic diseases. Sarcopenia is a key issue in cancer patients and has been identified as an important prognostic factor for patients with cancer [4–6]. Sarcopenia affects approximately 11% to 74% of cancer patients, depending on the site and severity of the tumours [7, 8]. A study of 166 women with metastatic breast cancer showed a prevalence of sarcopenia of 67% while another study of 40 patients showed a lower prevalence of 58% [9, 10]. In patients with advanced breast cancer, low muscle strength and sarcopenia have been associated with tumour progression and mortality [11–13]. In parallel, low muscle quality often reflects extensive lipid infiltration [14, 15]. One study found that low muscle radiodensity which is a measure of muscle quality indicative of adipose tissue deposition into muscle fibers and reduced function, increased risk of death [9]. Moreover, the literature has suggested associations between body composition and risk of treatment toxicities according to National Cancer Institute Common Toxicity Criteria for Adverse Events (NCI-CTCAE; Version 5.0) at early stages of cancer [16, 17], in advanced cancer [12, 13, 18–22] and specifically in breast cancer [7, 8, 22–26]. Several of these studies have demonstrated that the decrease in muscle mass was associated with an interruption of chemotherapy or a reduction in dose [21, 27, 28]. Because chemotherapy doses are determined from total body surface area, patients with lower muscle mass for a given total body surface area may receive an excessive dose of chemotherapy [12, 16, 19, 19, 29] and are more likely than their counterparts to develop toxicities [12, 19, 30–32]. The balance between reducing the risk of toxicity inherent to treatments and maintaining the efficacy of anticancer drugs raises the need to prevent sarcopenia by enhancing body composition.
Physical activity during and after cancer treatment for localized cancer has been shown to increase lean body mass [33, 34]. To our knowledge, only one randomized controlled study has analysed the effect of physical activity intervention on sarcopenia in patients with localized breast cancer during adjuvant chemotherapy [35]. This study has shown that a resistance training may be enable to offset the decrease in muscle strength and muscle mass (in particular through protein synthesis) and avoid sarcopenia [35, 36].
Preventing sarcopenia is a key factor in advanced cancer care, but reliable markers of sarcopenia have been difficult to identify [37, 38]. Oxidative stress defined as an imbalance between the production of reactive oxygen species (free radicals) and antioxidants defences in the body, has been suggested to be an early biomarker of sarcopenia [37, 38]. For example, lipid peroxidation markers have been positively correlated with sarcopenia [39]. A pro/antioxidant imbalance resulting from an excess of mitochondrial radical production associated with a decrease in antioxidant enzymes at the level of the muscle cell may be a major factor at the origin of the sarcopenia phenomenon [40]. In addition, sarcopenia can occur regardless of body mass index (BMI), in both lean and obese individuals, the latter constituting sarcopenic obesity [30].
The purpose of this ancillary study to the Advanced stage Breast cancer and Lifestyle Exercise (ABLE) Trial [41] was to (i) study the variation in muscle characteristics between baseline and the end of the 6-month physical activity intervention, (ii) explore the association between the variation between baseline and month six in muscle characteristics and physical activity level, physical fitness and quality of life, (iii) explore the association between sarcopenia at baseline and individuals characteristics, physical activity condition, oxidative stress at 6 months, and (iv) explore the association between sarcopenia during the study and toxicities during the study in patients with metastatic breast cancer. The ABLE Trial was not originally powered to detect changes in these outcomes and the present analysis was performed as a secondary objective to generate preliminary data on the association between physical activity, muscle characteristics, sarcopenia, oxidative stress and toxicities in metastatic breast cancer patients. We hypothesized that (i) the physical activity intervention would be positively associated with muscle mass and negatively with sarcopenia, (ii) sarcopenic participants would have higher risk of toxicity during time and a disturbed pro-oxidant/antioxidant balance at 6 months as compared to nonsarcopenic patients.
Methods
Study design
The ABLE trial that was registered on http://www.clinicaltrials.gov (clinicaltrials.gov identifier: NCT03148886). The study protocol has been described in detail elsewhere [41]. Briefly, ABLE is a single-arm intervention trial conducted at the Léon Bérard Comprehensive Cancer Centre (Lyon, France) in which patients newly diagnosed with metastatic breast cancer were followed for their physical activity, physical function, quality of life, fatigue and tumour progression during a 6-month unsupervised intervention in physical activity.
The study protocol was approved by the local research ethics committee (Comité de Protection des Personnes Sud-Est IV) and the study database was reported to the National Commission for Data Protection and Liberties (CNIL) (reference number: 1994192).
Recruitment of participants
Patients were female, aged 18 to 78 years; newly diagnosed with a de novo or secondary metastatic breast cancer histologically confirmed within the last 3 months; treated with any combination of chemotherapy, radiotherapy, hormonal therapy and targeted therapy; having an Eastern Cooperative Oncology Group (ECOG) Performance status < 2; having a medical clearance of no contraindications to physical activity; able to speak and understand French; able to complete questionnaires and follow instructions in French; and having a valid health insurance affiliation. Noninclusion criteria were patients with untreated brain metastases, being pregnant or having contraindications to physical activity (e.g., uncontrolled hypertension, cardiac disease; unstable bone metastases); being unable to be followed for medical, social, family, geographic or psychological reasons over the study period or with deprivation of liberty by court or administrative decision. All patients provided written informed consent prior to inclusion in the study.
Physical activity intervention
The intervention was a 6-month, home-based, unsupervised and personalized physical activity program based on the recommendations in terms of steps per day [41]. Patients were asked to wear an activity tracker during the duration of the intervention (i.e., 6 months). Based on their physical capacities evaluated at baseline and the average number of steps registered during the first week, women received an individual goal of steps per day from a physical activity instructor. The exercise goal was adapted weekly depending on the number of steps performed during the previous week and on the patient’s feelings, health and fitness status. All patients received weekly individual feedback from the physical activity instructor on their performance as well as personalized recommendations to increase or maintain their physical activity and reduce sedentary behaviour. The targeted number of steps was set within a maximum of 1000 steps above the average number of steps performed during the previous week. For participants reaching 10,000 steps per day, corresponding to the recommendations for healthy people [42], the goal was to maintain this number of steps.
Data collection
Patients’ characteristics
Clinical data were extracted from the participants’ electronic medical records and included personal history of breast cancer, sites and number of metastases and current treatment. Anthropometric measurements taken at baseline and post-intervention, included standing height (cm), body weight (kg) and calculated Body Mass Index (BMI) (kg/m2). The quality of life was assessed with the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire QLQ-C30 [43]. We used the global health status, functional status, physical function, symptoms and fatigue scores.
Physical activity fitness
The distance performed during the six-minute walk test [44] was determined as the maximum walking distance (6MWD) on a 30-m long flat corridor during six minutes. The isometric maximal strength of the dominant leg extensors was measured with a dynamometer (DFS II Series Digital Force Gauges, Chatillon, Florida, USA) attached at the ankle of the patient seated on a chair with the knee flexed at 90°; the highest value of two separate measures was registered. Hand grip strength was measured using a hand dynamometry (Jamar Plus Digital Hand Dynamometer, Patterson Medical, Huthwaite, United Kingdom) [45]; three measures were performed on each hand and the best performance was registered. The number of steps per day was measured using a connected activity tracker (Nokia Go® wristband, Nokia France, Issy-les-Moulineaux, France) and collected by regular transfer through a specific smartphone application (Nokia Health Mate®).
Physical activity level
Physical activity was evaluated by the French version of the long form of the International Physical Activity Questionnaire (IPAQ) [46], The long-form IPAQ is a validated self-administered physical activity questionnaire comprising 31 items grouped into four activity domains: work-related, transportation, domestic and recreational physical activity. The level of physical activity was determined by the IPAQ total physical activity score, expressed in metabolic equivalent of task (MET)-minutes per week. The total sitting time every date in the past week was estimated by asking the question “About how many hours in each 24 h-day do you usually spend on sitting?”.
Toxicities
Adverse events were extracted from the participants’ electronic medical records and were graded according to the toxicity criteria of the National Cancer Institute (Common Terminology Criteria for Adverse Events, CTCAE v5.0). The toxicity was defined as the occurrence of severe toxicity (grade > 2) throughout the study.
Computed tomography (CT)-based analyses of muscle
Skeletal muscle analyses based on the CT scans, were performed routinely in all patients with a metastatic diagnosis. We analysed only CT images performed within ± 30 days from baseline, three months and six months after study entry. A cross-sectional CT image at the midpoint of the third lumbar vertebrae (L3) was extracted from CT scan for each patient at each time using the Syngo.via software (Siemens Healthcare GmBH, Erlangen, Germany) and analysed using the National Institutes of Health (NIH) ImageJ software [47, 48]. The cross-sectional area (mm2) of the seven muscles of the L3 region (psoas, rector spinae, quadratus lumborum, transversus abdominus, external and internal obliques and rectus abdominus) was assessed by measuring the area composed by all pixels having an attenuation comprises between − 29 and + 150 Hounsfields Units (HU) excluding those located within internal cavity [36, 47, 49, 50]. Skeletal muscle density (SMD) (HU) represents the mean attenuation of these pixels. Skeletal muscle index (SMI) (cm2/m2) was obtained by normalizing cross-sectional muscle area by patient height. Skeletal muscle gauge (SMG) (HUxcm2/m2) was calculated multiplying muscle area by SMD. Skeletal muscle area at L3 was shown to predict whole lean body mass (LBM) according to the following equation [51]:
At baseline, patients were considered as sarcopenic if they had a SMI < 40cm2/m2 and patients were considered to have a poor muscle quality if they had a SMD < 37.8HU [52]. Sarcopenia and poor muscle quality are not mutually exclusive. Patients were classified as having sarcopenic obesity if they had a BMI > 30 kg/m2 and had sarcopenia.
Blood collection and oxidative stress analyses
A 7 mL blood sample was collected at baseline and six months. Blood samples were drawn into ethylenediaminetetraacetic acid (EDTA) blood collection tubes, centrifuged at 800 g during 10 min. Plasma and buffy coat were aliquoted into cryotubes, which were immediately frozen to − 80 °C until analysis.
All spectrophotometry and fluometry measurements were performed with TECAN Infinite 2000 plate reader (Männedorf, Switzerland). Plasma antioxidant enzymes (including catalase, glutathione peroxidase and superoxide dismutase activities), prooxidant enzymes (including NADPH oxidase activity and myeloperoxidase activities) and oxidative stress damage markers (including Advanced oxidation protein products [AOPP], Malondialdehyde [MDA] and DNA oxidation [8-Hydroxy-2′-deoxyguanosine; 8-OhdG] were measured as previously published [53, 54].
Statistical analysis
Participants’ characteristics were described using means and standard deviations (SDs) or 95% confidence intervals (CIs) for quantitative data and frequencies and percentages for qualitative data. Boxplots were used to graphically display the distribution of the muscle variables (SMI, SMG, LBM, SMD and muscle cross-sectional area at L3). The changes in these muscle variable values and the sarcopenic status during the study was tested by repeated measures analyses of variance (Fig. 1). The associations between physical activity level, physical fitness, quality of life and the muscle’s characteristics were explored using linear regressions (Fig. 1). The association between sarcopenic status at baseline and the patients’ characteristics at the end of the intervention were explored using logistic regression (Fig. 1). Logistic regression was also used to explore the risk of severe toxicity associated with the sarcopenic status at baseline (Fig. 1).
Given the relatively small sample size, analyses were adjusted whenever possible and appropriate for age, BMI as continuous variable, and treatment (chemotherapy vs hormone therapy).
The data were analysed using the SAS software (version 9.4., SAS Institute Inc., Cary, NC, USA).
Results
Patients characteristics at baseline
Among the 49 metastatic breast cancer patients enrolled in the study (recruitment rate 94% of eligible patients), 47 had an available abdominal CT scan at baseline. At baseline, 25 (53.2%) patients were classified as sarcopenic, among whom three (12.0%) had a sarcopenic obesity (Table 1). A total of 35 patients (74.5%) had a poor muscle quality represented by a SMD < 37.8HU (Table 1): 16 among nonsarcopenic patients (72.7%) and 19 patients among sarcopenic patients (76%) had a poor muscle quality (SMD < 37.8HU) (Table 1). There were no statistically significant differences for age, height, SMD, number of metastatic localizations and type of treatment between nonsarcopenic and sarcopenic patients. However, patients with secondary metastatic breast cancer (n = 35, 71.4%) were more likely to be sarcopenic (p = 0.03) and had a statistically significantly lower BMI (p < 0.01), LBM (p < 0.01), SMI (p < 0.01) and SMG (p = 0.02) as compared to de novo metastatic breast cancer patients (supplementary data).
Table 1.
All patients (n = 49) Mean (SD) or n (%) |
|
---|---|
Age (year), mean (SD) | 54.91 (10.41) |
Anthropometrics | |
Height (m), mean (SD) | 162.76 (6.06) |
Weight (kg), mean (SD) | 69.12 (15.71) |
BMI (kg/m2), mean (SD) | 26.08 (5.78) |
Underweight (< 18.5 kg/m2), n (%) | 3 (6.1) |
Normal weight (< 25 kg/m2), n (%) | 20 (40.8) |
Overweight (25–30 kg/m2), n (%) | 16 (32.7) |
Obese (> 30 kg/m2), n (%) | 10 (20.4) |
Muscle characteristics | |
Cross-sectional area at L3 (cm2), mean (SD) | 110.33 (16.42) |
SMD (HU), mean (SD) | 33.16 (8.89) |
Low SMD (< 37.8HU) | 35 (74.5) |
SMI (cm2/m2), mean (SD) | 41.72 (6.28) |
LBM (kg), mean (SD) | 39.16 (4.93) |
SMG (arbitrary units), mean (SD) | 1389.95 (458.03) |
Sarcopenia, n (%) | 25 (53.2) |
Clinical | |
Number of metastatic localizations, n (%) | 4.65 (3.05) |
De novo metastatic breast cancer, n (%) | 14 (28.6) |
Hormone therapy, n (%)a | 30 (61.2) |
Chemotherapy, n (%)a | 25 (51.0) |
Toxicities | |
Number of toxicities (≥ grade 3) | 19 (38.8) |
Types of toxicities | |
Hematologic | 6 (24.0) |
Metabolic | 3 (12.0) |
Neurological | 3 (12.0) |
Pneumological | 3 (12.0) |
Gastrointestinal | 2 (8.0) |
Cutaneous | 2 (8.0) |
Vascular | 1 (4.0) |
Fatigue | 1 (4.0) |
Infection | 1 (4.0) |
Musculoskeletal | 1 (4.0) |
Asthenia | 1 (4.0) |
General worsening | 1 (4.0) |
SMD skeletal muscle density, SMI skeletal muscle index, LBM lean body mass, SMG skeletal muscle gauge, BMI Body Mass Index
an = 6 patients received concomitant chemotherapy and hormone therapy
Evolution of physical fitness and muscle characteristics during the physical activity intervention
Overall, there was a statistically significant improvement in the 6-minute walking distance (6MWD, + 7%, p < 0.001) and the isometric quadriceps strength (+ 22%, p < 0.001) between baseline and the end of the study [55].
However, cross sectional muscle area, skeletal muscle radiodensity, LBM and skeletal muscle gauge remained constant over the 6 months (p = 0.75, p = 0.07, p = 0.75 and p = 0.06, respectively), but differed significantly between sarcopenic and nonsarcopenic patients at baseline, three months and six months (Fig. 2).
Variation between baseline and 6 months in muscle characteristics and physical condition and quality of life
No difference in physical performance was observed between sarcopenic and nonsarcopenic participants at baseline except for isometric quadriceps strength (227 N vs 170 N, p = 0.01). Moreover, the number of daily steps (6038 vs 4009, p = 0.05) as well as the total level of physical activity (2309 vs 1854 MET-minutes/week, p = 0.28) was higher in sarcopenic as compared to nonsarcopenic participants.
Regarding the associations between baseline and six months in muscle characteristics and physical activity level, physical fitness, quality of life after adjusting on age and BMI, an association was shown for the SMG (p = 0.03) and the SMD with the reduction of sitting time (p = 0.04) between baseline and the end of the intervention (Table 2).
Table 2.
Muscle characteristics | ||||
---|---|---|---|---|
Independent variables | Cross-sectional area parameter (SD), p value) | SMI (parameter (SD), p value) | SMG parameter (SD), p value) | SMD parameter (SD), p value) |
Physical activity level | ||||
Total physical activity (MET-minutes/week) |
− 0.02 (0.06) 0.75 |
− < 0.01 (< 0.01) 0.85 |
0.02 (0.04) 0.64 |
< 0.01 (< 0.01) 0.62 |
Moderate physical activity (MET-minutes/week) |
− 0.01 (0.08) 0.87 |
− < 0.01 (< 0.01) 0.98 |
0.02 (0.05) 0.71 |
< 0.01 (< 0.01) 0.75 |
Vigorous physical activity (MET-minutes/week) |
− 0.49 (0.78) 0.53 |
− < 0.01 (< 0.01) 0.65 |
− 0.11 (0.51) 0.83 |
− 0.01 (0.01) 0.87 |
Sitting time (minutes/week) |
0.09 (0.11) 0.41 |
< 0.01 (< 0.01) 0.46 |
0.16 (0.07) 0.03 |
0.01 (< 0.01) 0.04 |
Steps/day |
0.05 (0.08) 0.56 |
< 0.01 (< 0.01) 0.56 |
− 0.03 (0.03) 0.34 |
− < 0.01 (< 0.01) 0.25 |
Physical fitness | ||||
6 min walking test (m) |
− 2.60 (1.70) 0.14 |
− 0.01(< 0.01) 0.15 |
− 2.07 (1.05) 0.06 |
− 0.04 (0.02) 0.08 |
Handgrip strength right (kg) |
40.55 (33.44) 0.23 |
0.15 (0.13) 0.25 |
20.17 (22.16) 0.35 |
0.29 (0.50) 0.57 |
Handgrip strength left (kg) |
0.04 (3.55) 0.99 |
< 0.01 (0.01) 0.98 |
3.47 (2.27) 0.14 |
0.08 (0.05) 0.11 |
Isometric quadriceps strength (N) |
2.11 (2.39) 0.38 |
0.01 (< 0.01) 0.33 |
0.85 (1.55) 0.59 |
0.01 (0.04) 0.74 |
Quality of life | ||||
Global health |
− 2.85 (6.03) 0.64 |
− 0.01 (0.02) 0.73 |
2.00 (3.87) 0.61 |
0.04 (0.09) 0.65 |
Physical functioning |
− 3.86 (7.33) 0.60 |
− 0.01 (0.03) 0.66 |
− 2.78 (4.71) 0.56 |
− 0.04 (0.11) 0.64 |
Fatigue symptom |
2.30 (5.60) 0.68 |
0.01 (0.02) 0.72 |
5.03 (3.51) 0.16 |
0.11 (0.08) 0.18 |
Independent variables: physical activity level, physical fitness, quality of life
SMD skeletal muscle density, SMI Skeletal Muscle Index, SMG skeletal muscle gauge
p value are obtained using beta regression coefficients
Association between sarcopenia at baseline and individual characteristics, physical activity condition and oxidative stress at 6 months
Being sarcopenic at baseline was associated with a lower BMI, cross sectional area at L3, SMG, SMI and LBM at the end of the 6-month intervention study (p < 0.01, p < 0.01, p = 0.04, p < 0.01 and p < 0.01, respectively) (Table 3). In addition, although not significant, the total level of physical activity at 6 months was lower in sarcopenic participants compared to nonsarcopenic participants (1728 vs 2140 MET-minutes/week, p = 0.74) in contrast to the baseline data.
Table 3.
Month 6 | All patients (n = 47) Mean (SD) or n (%) |
Nonsarcopenic (n = 22) Mean (SD) or n (%) |
Sarcopenic (n = 25) Mean (SD) or n (%) |
p value |
---|---|---|---|---|
Anthropometrics | ||||
Weight (kg), mean (SD) | 67.37 (15.59) | 75.21 (17.26) | 61.17 (10.96) | < 0.01 |
BMI (kg/m2), mean (SD) | 25.41 (5.91) | 28.68 (6.55) | 22.81 (3.77) | < 0.01 |
Underweight (< 18.5 kg/m2), n (%) | 3.0 (7.0) | 1.0 (5.3) | 2.0 (8.3) | 0.02 |
Normal weight (< 25 kg/m2), n (%) | 21.0 (48.8) | 5.0 (26.3) | 16.0 (66.7) | |
Overweight (25–30 kg/m2), n (%) | 11.0 (25.6) | 6.0 (31.6) | 5.0 (20.8) | |
Obese (> 30 kg/m2), n (%) | 8.0 (18.6) | 7.0 (36.8) | 1.0 (4.2) | |
Muscle characteristics | ||||
Cross-sectional area at L3 (cm2), mean (SD) | 110.19 (16.88) | 121.03 (18.65) | 102.06 (9.50) | < 0.01 |
SMG (arbitrary units), mean (SD) | 1721.00 (619.03) | 1328.11 (321.71) | 1496.49 (505.64) | 0.04 |
Low SMD (< 37.8HU) | 26.0 (61.9) | 12.0 (66.7) | 14.0 (58.3) | 0.58 |
SMI (cm2/m2), mean (SD) | 41.46 (6.19) | 45.96 (6.66) | 38.08 (2.78) | < 0.01 |
LBM (kg), mean (SD) | 39.12 (5.07) | 42.37 (5.59) | 36.68 (2.85) | < 0.01 |
SMD (HU), mean (SD) | 35.99 (10.36) | 37.61 (13.29) | 34.78 (7.56) | 0.84 |
Physical fitness | ||||
6 min walking distance (m), mean (SD) | 481.44 (107.23) | 450.00 (114.38) | 506.33 (96.42) | 0.10 |
Handgrip strength right (kg), mean (SD) | 26.21 (4.34) | 25.67 (4.75) | 26.66 (4.02) | 0.65 |
Handgrip strength left (kg), mean (SD) | 24.04 (4.44) | 24.13 (4.39) | 23.98 (4.57) | 0.87 |
Isometric quadriceps strength (N), mean (SD) | 239.19 (77.28) | 259.60 (81.57) | 223.87 (71.83) | 0.16 |
Physical activity level | ||||
Total physical activity (MET-minutes/week) | 1910.19 (1771.40) | 2140.32 (2275.71) | 1728.00 (1264.36) | 0.74 |
Sitting time (min/week) | 1728.60 (846.98) | 1554.74 (897.94) | 1866.25 (796.38) | 0.18 |
Mean steps per day over a month, mean (SD) | 5266.91 (2736.79) | 4475.36 (2889.51) | 6011.90 (2436.46) | 0.08 |
Antioxidant enzymes | ||||
CAT (µmol/min/L), mean (SD) | 37.83 (18.92) | 35.51 (14.89) | 39.67 (21.73) | 0.73 |
GPx (mol/min/L), mean (SD) | 82.05 (25.63) | 82.59 (24.87) | 81.64 (26.70) | 0.94 |
SOD (mol/min/L), mean (SD) | 8.88 (4.57) | 10.52 (4.74) | 7.57 (4.07) | 0.06 |
Pro-oxidant enzymes | ||||
NADPH oxidase leucocytes, mean (SD) | 0.22 (0.06) | 0.22 (0.06) | 0.22 (0.06) | 0.66 |
MPO Plasma, mean (SD) | 119.27 (49.38) | 131.87 (52.10) | 109.30 (45.76) | 0.08 |
MPO Leuco, mean (SD) | 15.73 (7.95) | 15.51 (6.67) | 15.91 (8.97) | 0.92 |
End products of OS damage lipids | ||||
MDA (µmol/L), mean (SD) | 12.53 (3.54) | 11.21 (2.22) | 13.57 (4.05) | 0.02 |
DNA | ||||
8-OHdG (µg/L), mean (SD) | 18.00 (15.49) | 16.77 (15.20) | 18.97 (15.98) | 0.66 |
Protein | ||||
AOPP (µmol/L), mean (SD) | 88.23 (56.25) | 86.65 (53.01) | 89.49 (59.79) | 0.85 |
Inflammation | ||||
IL6 (µmol/L), mean (SD) | 24.41 (9.41) | 35.55 (13.28) | 33.50 (4.64) | 0.79 |
SMD skeletal muscle density, SMI Skeletal Muscle Index, LBM lean body mass, SMG skeletal muscle gauge, BMI Body Mass Index, CAT catalase, GPx glutathione peroxidase, SOD superoxide dismutase, MPO myeloperoxidase, MDA malondialdehyde, 8-OHdG 8-hydroxydésoxyguanosine, AOPP advanced oxidative protein products, IL interleukin
With respect to the biological markers, the sarcopenic status at baseline was associated with a higher plasma MDA concentration at 6 months (p = 0.02) (Table 3). The sarcopenic status at baseline was not associated with other oxidative stress biomarkers.
Association between sarcopenia at baseline and the risk of toxicities during the 6-month physical activity intervention
A total of 41 patients experienced toxicities during the study, ranging from grade 1 to grade 5, including 19 severe toxicities (grade ≥ 3 (Table 1)). Being sarcopenic during the study was significantly associated with a higher risk of severe toxicity (≥ grade 3) during the six-month study (OR 4.56, 95% CI 1.07–19.41) after adjusting for age and chemotherapy.
Discussion
This ancillary study in the ABLE Trial is the first study worldwide to analyse the evolution of sarcopenia during a six-month physical activity intervention in patients with metastatic breast cancer. One of its major findings is the maintenance of muscle mass during the 6-month intervention despite possible adverse effects of treatments and disease progression.
The high prevalence of sarcopenia and poor muscle quality at baseline in the ABLE Trial is consistent with the literature that has shown an increasing prevalence of sarcopenia with cancer stage. Several mechanisms may be involved, such as cancer and treatment-related metabolic disturbances, degeneration of satellite cells associated with aging, decreased physical activity and decreased dietary intake [56–58]. The combination of these factors acts on the balance of the muscle mass regulation and can cause an imbalance between the synthesis and degradation of muscle proteins in favour of degradation [59], leading to muscle atrophy [60–62]. A study of 3241 patients with localized breast cancer found that 34% were sarcopenic and 37% had poor muscle quality [52], in contrast with a study of 166 patients with metastatic breast cancer among whom 67% were sarcopenic and 60% had low muscle mass [63]. These observations in metastatic breast cancer are consistent with the skeletal muscle measures in the ABLE Trial with 53% women being sarcopenic and 75% having a low SMD. Furthermore, the results of the ABLE study do not show differences in muscle quality between sarcopenic and nonsarcopenic patients. In both groups, lipid infiltration was below the threshold (< 37.8 HU) raising the need to measure both the sarcopenia indicator and the muscle quality indicator, both of which are correlated with an increased risk of death [9]. Using a threshold for SMI of ≤ 41cm2/m2 as proposed by Martin et al., another cross-sectional study in 41 metastatic breast cancer patients reported a 34% prevalence of sarcopenia [64, 65]. These results reinforce the need to systematically assess body composition and sarcopenia in patients with cancer. However, additional studies are needed to determine valid thresholds for defining sarcopenia, making comparisons between studies easier [30, 66–68].
In the ABLE Trial, we previously found that the intervention improved functional capacities (i.e., statistically significant and clinically relevant improvements of 6MWD + 7% [69–71], isometric quadriceps strength + 22%) and that muscular strength was maintained despite the progress of the disease and treatment [55]. To our knowledge, only one randomized controlled trial conducted among 200 patients with localized breast cancer receiving adjuvant chemotherapy has assessed the impact of resistance and aerobic exercise on sarcopenia [35]. After a 17-week intervention, the arm doing resistance exercise had a statistically higher SMI as compared to the control group, suggesting a potential effect of a resistance exercise to reverse sarcopenic status [72]. Conversely, during the ABLE Trial the prevalence of sarcopenia and the skeletal muscle parameters remained constant at 3 and 6 months which suggests that even regular walking could preserve muscle mass. The reduction (by 5.0 ± 2.5 cm2 per year) of muscle mass or muscle quality observed in patients with a metastatic breast cancer [73, 74] underlines the potential importance of the suggested benefit of the six-month physical activity intervention of the ABLE Trial to mitigate treatment and disease induced sarcopenia in advanced breast cancer. There is increasing evidence that physical inactivity contributes to increase the prevalence of sarcopenia, particularly in the elderly [4]. The observed significant association of muscle density and muscle gauge with decreased sitting time in the ABLE trial, further suggests a beneficial effect of reducing sedentary behaviour in advanced breast cancer patients and may have in turn a beneficial effect on quality of life and survival [8, 10]. Although physical activity can sometimes seem complicated in this population, limiting physical inactivity can be a first step to achieving early clinical benefits. In this study, sarcopenic patients achieved a significant higher number of daily steps and total physical activity level as compared to nonsarcopenic participants. It is possible that patients awareness of the negative effects of lack of physical activity might have been an incentive to be more physically active. Drivers for change in behaviour and motivation related to physical activity in this population should be investigated in future studies.
Cancer and chemotherapy related enhanced production of reactive oxygen species is thought to promote sarcopenia, contribute to apoptotic changes in skeletal muscle fibres and alter the contractile qualities of the muscle through several molecular signalling pathways involved in the regulation of muscle tissue [75, 76]. In the present study, no significant association of sarcopenic status at baseline was observed with biomarkers of oxidative stress, except for MDA plasma levels at 6 months. MDA a common measure of oxidative stress, is produced at high levels during lipid peroxidation and has been shown to be involved in age-related diseases including cancer [75]. The observed association of sarcopenia with high plasma MDA at 6-month is consistent with increased MDA levels in sarcopenic elderly compared to their nonsarcopenic counterparts [38, 77]. Furthermore, plasma MDA has been suggested as a biomarker of cancer and tumour progression [78–80]. Also, a significant increase was observed in patients undergoing treatment for cervical cancer as compared to pretreatment levels [81]. An inverse relationship of MDA concentrations with the amount of physical activity in elderly women has been reported, and exercise has been suggested to decrease MDA plasma levels in a recent study including 130 non metastatic breast cancer patients [82].
In the ABLE Trial, the incidence of severe toxicity (40%) was higher than in patients with localized breast cancer (19%) [72] but lower compared to observed prevalence in two other studies of 40 and 66 metastatic breast cancer patients reporting grade 3–4 toxicity rates in 55% and 57% of sarcopenic patients, respectively [10]. Grade 3–4 toxicity rates in nonsarcopenic patients in these studies (20% and 18% respectively were similar to our study. The results of this study further confirm a link between sarcopenia and treatment toxicities consistent with the literature showing an increased risk of toxicity in sarcopenic patients as well as a correlation of low SMI and muscle area with severe toxicities [72]. It has been suggested that the use of lean muscle mass instead of body surface area to calculate chemotherapy dose could limit the risk of toxicity and treatment delay as well as improve chemotherapy relative dose intensity [19]. This may in turn improve treatment efficacy while improving patients’ quality of life [12, 16, 19, 30, 83]. The CT scan-based analyses of the skeletal muscle area on cross section at the third lumbar vertebra (L3) provides a reliable representation of the total body muscle mass and has therefore been widely adopted for the detection of sarcopenia in cancer patients [36, 51].
The strengths of this ancillary analysis of ABLE Trial were the high recruitment rate, low attrition, excellent adherence to the physical activity intervention and repeated CT scan to monitor sarcopenia over time. The limitations of this single-center study include the lack of a control group, the small sample size that limits statistical power and, finally, the short follow-up that did not allow survival analyses to be carried out according to sarcopenic status. Many of the tests were done without adjustment given the exploratory nature of the study.
Conclusion
This ancillary analysis of the ABLE Trial provides important preliminary data on potential benefits of physical activity in preventing sarcopenia and chemotoxicities in patients with metastatic breast cancer. The emergence of artificial intelligence methods to assess body composition and sarcopenia in routine will lead to considerable progress in patient care [84]. This will facilitate the use of lean muscle mass to calculate chemotherapy dose to reduce toxicity in sarcopenic patients in future studies. Also, clinicians should encourage women with metastatic breast cancer to remain physically active and limit sedentarity [85]. Finally, these preliminary data provide a strong rational for the development of a larger multicentre randomized trial to evaluate the impact of a physical intervention specifically on the muscle mass and chemotherapy toxicities.
Supplementary Information
Below is the link to the electronic supplementary material.
Abbreviations
- BMI
Body Mass Index
- MET
Metabolic equivalent of task
- 6MWD
Six-minute walking distance
Funding
LD was supported by a research grant from the French League against Cancer and AM was supported by the Ministry of Higher Education and Research. The study was funded by the Cancéropôle Lyon Auvergne Rhône-Alpes, by the association Odyssea and Activ’Ra.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Vincent Pialoux and Béatrice Fervers have equally contributed to this work.
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